Optimal Combination of Evidence Based on Pignistic Probability Distance
Ying‐Ming Wang · Information and Computation · 2013
To reflect practical situations more reasonably by the fusion of evidence,a new method for optimal combination of evidence is proposed.Some related theoretical proofs are presented.An optimization model of Pignistic probability distance is built from the global perspective to provide the relative importance weights for weighing evidence such that the weighted evidence can be reasonably combined with the Dempster rule of combination.Numerical examples are provided to demonstrate the advantages of the new method such as quick convergence,good stability and strong anti-interference ability.